Nonlinear regression in parameter estimation from polarographic signals

• Author(s): Pais, A. A. C. C. ; Pereira, J. L. G. C. ; Redinha, J. S.
• Date: 2000
• Persistent ID: http://hdl.handle.net/10316/5245
• Origin: Estudo Geral - Universidade de Coimbra
• Subject(s): Least-squares; Monte-Carlo; Bootstrap; Jackknife; Parameter estimation; Polarography
• Document Type: Article
• Language: English

Description

In this work we describe a detailed treatment of polarographic data curves, including error analysis, by means of nonlinear least-squares in its standard form (or resorting to the errors in variables model). Error estimates for the related parameters are additionally verified by Monte-Carlo simulation and resampling techniques. http://www.sciencedirect.com/science/article/B6TFV-40T9HTX-13/1/f6e264fb725bc85b9d54f33786bbaf73